Progressive Image Denoising

Knaus, Claude; Zwicker, Matthias (2014). Progressive Image Denoising. IEEE transactions on image processing, 23(7), pp. 3114-3125. IEEE 10.1109/TIP.2014.2326771

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Image denoising continues to be an active research topic. Although state-of-the-art denoising methods are numerically impressive and approch theoretical limits, they suffer from visible artifacts.While they produce acceptable results for natural images, human eyes are less forgiving when viewing synthetic images. At the same time, current methods are becoming more complex, making analysis, and implementation difficult. We propose image denoising as a simple physical process, which progressively reduces noise by deterministic annealing. The results of our implementation are numerically and visually excellent. We further demonstrate that our method is particularly suited for synthetic images. Finally, we offer a new perspective on image denoising using robust estimators.

Item Type: Journal Article (Original Article)
Division/Institute: 08 Faculty of Science > Institute of Computer Science (INF) > Computer Graphics Group (CGG)
08 Faculty of Science > Institute of Computer Science (INF)
UniBE Contributor: Knaus, Claude and Zwicker, Matthias
Subjects: 000 Computer science, knowledge & systems
500 Science > 510 Mathematics
ISSN: 1057-7149
Publisher: IEEE
Language: English
Submitter: Matthias Zwicker
Date Deposited: 20 Feb 2015 10:21
Last Modified: 05 Oct 2015 09:22
Publisher DOI: 10.1109/TIP.2014.2326771
BORIS DOI: 10.7892/boris.63337
URI: http://boris.unibe.ch/id/eprint/63337

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